AI Vision Systems Specialist

Summary

Clarios develops, manufactures, and distributes energy storage solutions for sustainable transportation. The AI Vision Systems Specialist designs, develops, validates, and deploys computer vision and AI solutions for intelligent automation, automated inspection, quality control, and process optimization across manufacturing plants. The role engages business stakeholders, integrates vision systems with production equipment, leads regional deployments, and drives scalable innovation and standardization.

Responsibilities

• Proactively engage with business and plant teams across regions to understand operational challenges, pain points, and improvement opportunities
• Collaborate with business owners to create product roadmaps that prioritize delivery of key capabilities to the plants
• Facilitate workshops and collaborative sessions to define priorities for vision system applications
• Design, develop, and implement computer vision systems for automated inspection, defect detection, and process monitoring
• Develop PoC solutions in lab environments, validate with stakeholders, and drive integration into base machines
• Integrate vision systems (edge devices, cameras, sensors, lighting) with manufacturing equipment
• Create predictive and preventative maintenance schedule along with necessary spare parts list to ensure long-term viability of solutions
• Collaborate with IT and engineering to deploy AI models and data pipelines for real-time analytics
• Lead and support deployment of vision solutions across multiple regions, ensuring adaptability to local requirements and standards
• Coordinate with regional teams for pilot builds, R&D trials, commissioning, and feedback loops
• Evaluate and select hardware/software for vision applications in brownfield and greenfield scenarios
• Develop and maintain technical documentation, including Supplier Statements of Work (SSOW), Bills of Materials (BOM), System calibration and quality procedures, and spare parts lists
• Guide vendor selection and manage strategic partnerships with equipment suppliers and integrators
• Stay current with emerging technologies in computer vision, machine learning, and industrial automation
• Conduct benchmarking and share findings with global teams
• Champion innovation and standardization across sites and regions
• Communicate technical concepts and project status to stakeholders at all levels, including executive leadership
• Foster cross-functional and cross-regional collaboration to ensure alignment and best practice sharing

Skills

• • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field
• • 3+ years of experience in computer vision, machine learning, or automation engineering
• • Experience with vision system integration in manufacturing or industrial environments
• • Familiarity with industrial cameras, sensors, and lighting systems
• • Experience deploying AI models to edge devices or cloud platforms
• • Proficiency in 3D CAD tools and simulation software is a plus
• • Experience leading cross-functional projects in international settings
• • FUTURE RELOCATION TO TEXAS IS REQUIRED

Qualifications

Must Haves

• • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field
• • 3+ years of experience in computer vision, machine learning, or automation engineering
• • Experience with vision system integration in manufacturing or industrial environments
• • Familiarity with industrial cameras, sensors, and lighting systems
• • Experience deploying AI models to edge devices or cloud platforms
• • Proficiency in 3D CAD tools and simulation software is a plus
• • Experience leading cross-functional projects in international settings
• • FUTURE RELOCATION TO TEXAS IS REQUIRED

Benefits

• This position is remote with possible relocation required.
• Medical, dental and vision care coverage and a 401(k) savings plan with company matching – all starting on date of hire
• Tuition reimbursement, perks, and discounts
• Parental and caregiver leave programs
• Paid time off
• Flexible spending
• Short- and long-term disability
• Basic life insurance
• Business travel insurance
• Employee Assistance Program
• A full-service cafeteria and workout facility at the HQ location